Implementing Fast-Haar Wavelet transform on original Ikonos images to perform image fusion: qualitative assessment
This article presents the Fast Haar Wavelet Transform (FHWT) algorithm applied to satellite-images fusion. FHWT is applied to both a multispectral image and a panchromatic Ikonos image using the digital image processing toolbox and wavelet toolbox provided by MatLab®. The results of the fusion are...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Universidad de Antioquia
2014-02-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/15003 |
| _version_ | 1797861676322652160 |
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| author | Javier Medina Carlos Pinilla Luis Joyanes |
| author_facet | Javier Medina Carlos Pinilla Luis Joyanes |
| author_sort | Javier Medina |
| collection | DOAJ |
| description |
This article presents the Fast Haar Wavelet Transform (FHWT) algorithm applied to satellite-images fusion. FHWT is applied to both a multispectral image and a panchromatic Ikonos image using the digital image processing toolbox and wavelet toolbox provided by MatLab®. The results of the fusion are analyzed and evaluated quantitatively. Regarding the quantitative results of the fusion, first the mathematical-statistical correlation algorithm is used to analyze the spectral and spatial gain of the merged images. Next, the kappa coefficient is analyzed on three samples taken from the merged images, which are binarized in order to identify their spatial accuracy. It is shown that FHWT outperforms other predefined wavelets (namely rbio6.8, bior6.8, db7, dmey and haar) when merging the images. Moreover, merged images maintain the same spectral output as the original image, and also exhibit significant spatial resolution gain.
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| first_indexed | 2024-04-09T22:08:09Z |
| format | Article |
| id | doaj.art-45ee54f12d1e475e8eae93ebb2bdfc05 |
| institution | Directory Open Access Journal |
| issn | 0120-6230 2422-2844 |
| language | English |
| last_indexed | 2024-04-09T22:08:09Z |
| publishDate | 2014-02-01 |
| publisher | Universidad de Antioquia |
| record_format | Article |
| series | Revista Facultad de Ingeniería Universidad de Antioquia |
| spelling | doaj.art-45ee54f12d1e475e8eae93ebb2bdfc052023-03-23T12:33:13ZengUniversidad de AntioquiaRevista Facultad de Ingeniería Universidad de Antioquia0120-62302422-28442014-02-01717110.17533/udea.redin.15003Implementing Fast-Haar Wavelet transform on original Ikonos images to perform image fusion: qualitative assessmentJavier Medina0Carlos Pinilla1Luis Joyanes2University Francisco Jose de CaldasJaen UniversityPontifical University of Salamanca This article presents the Fast Haar Wavelet Transform (FHWT) algorithm applied to satellite-images fusion. FHWT is applied to both a multispectral image and a panchromatic Ikonos image using the digital image processing toolbox and wavelet toolbox provided by MatLab®. The results of the fusion are analyzed and evaluated quantitatively. Regarding the quantitative results of the fusion, first the mathematical-statistical correlation algorithm is used to analyze the spectral and spatial gain of the merged images. Next, the kappa coefficient is analyzed on three samples taken from the merged images, which are binarized in order to identify their spatial accuracy. It is shown that FHWT outperforms other predefined wavelets (namely rbio6.8, bior6.8, db7, dmey and haar) when merging the images. Moreover, merged images maintain the same spectral output as the original image, and also exhibit significant spatial resolution gain. https://revistas.udea.edu.co/index.php/ingenieria/article/view/15003image fusionfast haar wavelet transform (FHWT)RGB-IHS transformationmallat’s algorithmIKONOS ImagesWavelet transform |
| spellingShingle | Javier Medina Carlos Pinilla Luis Joyanes Implementing Fast-Haar Wavelet transform on original Ikonos images to perform image fusion: qualitative assessment Revista Facultad de Ingeniería Universidad de Antioquia image fusion fast haar wavelet transform (FHWT) RGB-IHS transformation mallat’s algorithm IKONOS Images Wavelet transform |
| title | Implementing Fast-Haar Wavelet transform on original Ikonos images to perform image fusion: qualitative assessment |
| title_full | Implementing Fast-Haar Wavelet transform on original Ikonos images to perform image fusion: qualitative assessment |
| title_fullStr | Implementing Fast-Haar Wavelet transform on original Ikonos images to perform image fusion: qualitative assessment |
| title_full_unstemmed | Implementing Fast-Haar Wavelet transform on original Ikonos images to perform image fusion: qualitative assessment |
| title_short | Implementing Fast-Haar Wavelet transform on original Ikonos images to perform image fusion: qualitative assessment |
| title_sort | implementing fast haar wavelet transform on original ikonos images to perform image fusion qualitative assessment |
| topic | image fusion fast haar wavelet transform (FHWT) RGB-IHS transformation mallat’s algorithm IKONOS Images Wavelet transform |
| url | https://revistas.udea.edu.co/index.php/ingenieria/article/view/15003 |
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